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Complex price dynamics in vertically linked cobweb markets

Research output: Contribution to journalArticlepeer-review

14 Scopus citations

Abstract

We enrich the traditional cobweb model by explicitly modelling interdependencies between upstream and downstream farmers in a vertically linked agricultural supply chain. Analysis of the system of nonlinear difference equations characterizing price dynamics in the underlying model reveal complex, quasi-cyclical price fluctuations around the unique equilibrium state. We show that time-delays arising from the unequal lengths of upstream and downstream production cycles have profound effects on price dynamics. From a policy perspective, we find that improvements in downstream production technology and declines in consumers’ sensitivity to prices lead to chaotic price fluctuations. Simulations under reasonable model calibrations reproduce the stylized features of actual prices, including quasi-cyclical fluctuations, positive first-order autocorrelation and fat-tailed distributions. In doing so, we address a major criticism of the theory of endogenous price fluctuations: the failure of chaotic cobweb models to replicate positively autocorrelated prices.

Original languageEnglish
Pages (from-to)363-378
Number of pages16
JournalEconomic Modelling
Volume72
DOIs
StatePublished - Jun 2018
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2018 Elsevier B.V.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 2 - Zero Hunger
    SDG 2 Zero Hunger

Keywords

  • Agricultural commodity price fluctuations
  • Chaos
  • Nonlinear cobweb models
  • Time-delays
  • Vertically linked agricultural supply chains

ASJC Scopus subject areas

  • Economics and Econometrics

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